CRN中基于自适应阈值和OR-决策规则的频谱感知策略  

Spectrum sensing strategy in CRN based on adaptive threshold and OR-decision rules

作　　者：李明君[1] 田华[1] 张凯兵[2] Li Mingjun;Tian Hua;Zhang Kaibing(Computer Training Center,Yantai Nanshan University,Yantai Shandong 265700,China;School of Telecommunications,Xi’an Polytechnic University,Xi’an 710048,China)

机构地区：[1]烟台南山学院计算机实训中心,山东烟台265700 [2]西安工程大学电信学院,西安710048

出　　处：《计算机应用研究》2018年第9期2716-2719,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(61471161)

摘　　要：针对传统认知无线电网络(CRN)的频谱感知策略没有考虑噪声不确定性问题,提出一种基于噪声功率估计自适应阈值和OR-决策规则的频谱感知策略。将各接收器数据构建成一个数据矩阵,并计算矩阵的协方差矩阵;计算协方差矩阵的特征值,并根据特征值的均值来获得噪声的最大似然估计;根据估计的噪声和能量信号的检验统计量来确定决策阈值;各节点根据决策阈值作出局部决策并上传到融合中心(FC),FC利用OR-决策规则作出最终决策。实验结果表明,该方案的决策阈值能够随噪声自适应调整,有效提高了检测率,对噪声不确定性具有很好的鲁棒性。For the issue that the traditional spectrum sensing strategy of cognitive radio network(CRN)has not considered the noise uncertainty,this paper proposed a spectrum sensing strategy based on adaptive threshold with noise power estimation and OR-decision rules.Firstly,it built the receiver data into a data matrix,and calculated the covariance matrix of the matrix.Then,it calculated the eigenvalues of the covariance matrix,and obtained the maximum likelihood estimation of the noise according to the mean value of the eigenvalues.After that,it determined the decision threshold based on the estimation of the noise and the test statistic of the energy signal.Finally,each node made local decisions based on decision thresholds and uploaded fusion center(FC),and FC made final decisions using OR-decision rules.The experimental results show that the decision threshold of the proposed scheme can be adjusted adaptively according to the noise,which can effectively improve the detection rate and is robust to the uncertainty of the noise.

关 键 词：认知无线电网络 频谱感知 噪声功率估计 决策阈值 OR-决策规则 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]